DP 203 Exam Questions and Answers
Start preparing DP 203 Exam Questions and Answers –
Q: 1 What is the primary purpose of the Azure Data Factory service?
A] Orchestrating data flows and ETL processes
B] Storing structured data
C] Performing machine learning tasks
D] Monitoring network traffic
Q: 2 Which Azure service is designed to store unstructured data such as images, audio, and video?
A] Azure Blob Storage
B] Azure Data Lake
C] Azure SQL Database
D] Azure Cosmos DB
Q: 3 In Azure Synapse Analytics, which of the following is used for querying and transforming data?
A] SQL Pools
B] Data Flow
C] Azure Functions
D] Cosmos DB
Q: 4 Which of the following is used to process large-scale real-time streaming data in Azure?
A] Azure Stream Analytics
B] Azure SQL Database
C] Azure Machine Learning
D] Azure Databricks
Q: 5 What is the primary benefit of using Azure Databricks?
A] Unified analytics platform for big data and AI
B] Data storage in the cloud
C] Basic machine learning model deployment
D] Real-time data ingestion
Q: 6 Which of the following services can be used for serverless SQL queries on Azure Data Lake?
A] Azure Synapse Studio
B] Azure SQL Data Warehouse
C] Azure Blob Storage
D] Azure Data Factory
Q: 7 What is the default file format used by Azure Data Lake Storage Gen2 for storing data?
A] Parquet
B] CSV
C] JSON
D] Avro
Q: 8 In Azure, which service provides both a fully-managed relational database and a global distribution model?
A] Azure Cosmos DB
B] Azure SQL Database
C] Azure Databricks
D] Azure Data Lake Storage
Q: 9 What does the term “data wrangling” refer to in Azure?
A] Preparing data for analysis
B] Real-time streaming data ingestion
C] Generating insights from machine learning models
D] Storing and encrypting data
Q: 10 What is the function of Azure Data Factory’s data flow feature?
A] Allows designing data transformation and movement workflows
B] Stores data in a centralized repository
C] Analyzes data to generate machine learning models
D] Provides security measures for data
Q: 11 Which of the following data types is NOT supported by Azure SQL Database?
A] Images
B] Binary Data
C] JSON
D] BigInt
Q: 12 How does Azure Data Lake Storage Gen2 support big data analytics?
A] By storing data in a distributed, hierarchical structure
B] By offering low-latency transactional processing
C] By supporting advanced analytics in the cloud
D] By enabling data processing using Spark and Hive
Q: 13 Which of the following is a feature of Azure Synapse Analytics?
A] Ability to manage both on-demand and provisioned resources
B] Store only transactional data
C] Limited support for non-relational data
D] Provides built-in machine learning pipelines
Q: 14 Which service is used in Azure to provide monitoring and logging for all your resources?
A] Azure Monitor
B] Azure Synapse Studio
C] Azure Key Vault
D] Azure Event Grid
Q: 15 What type of data is most suited for Azure Data Lake Storage Gen2?
A] Unstructured data such as logs and multimedia files
B] Structured transactional data
C] Binary data for secure storage
D] Relational data with fixed schemas
Q: 16 Which of the following is the main advantage of using Azure Cosmos DB?
A] Global distribution with low-latency access
B] Real-time processing of large datasets
C] Cost-effective data storage for small applications
D] Built-in machine learning capabilities
Q: 17 What is the purpose of an Azure Data Lake Gen2 hierarchical namespace?
A] To organize data and improve management of large datasets
B] To store data in a secure format
C] To support multi-region replication
D] To enhance machine learning training speeds
Q: 18 How do you ensure high availability in Azure SQL Database?
A] By using geo-replication
B] By enabling sharding
C] By storing data in Azure Blob Storage
D] By using Azure Kubernetes Services (AKS)
Q: 19 Which Azure service provides a set of tools for managing and analyzing large-scale datasets in real-time?
A] Azure Stream Analytics
B] Azure Data Explorer
C] Azure SQL Database
D] Azure Data Lake Storage
Q: 20 Which of the following can be used to move data from on-premises sources to Azure data services?
A] Azure Data Factory
B] Azure SQL Data Warehouse
C] Azure Databricks
D] Azure Synapse Studio
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Q: 21 What is the primary benefit of using a Managed Identity with Azure services?
A] Allows secure access to Azure resources without requiring credentials
B] Provides a platform for building AI models
C] Helps with event-driven architecture
D] Automatically scales your databases
Q: 22 What type of workload is Azure Databricks optimized for?
A] Big data analytics and machine learning
B] Web and mobile application hosting
C] Transactional databases
D] Real-time event processing
Q: 23 Which of the following can Azure Synapse Analytics do?
A] Query both relational and non-relational data
B] Store data for machine learning models
C] Encrypt data in transit only
D] Build advanced machine learning models
Q: 24 Which of the following is a feature of Azure Machine Learning Studio?
A] It provides a graphical interface for creating machine learning models
B] It stores raw data for processing
C] It is primarily used for relational data storage
D] It offers serverless data processing
Q: 25 What is the function of Azure Key Vault in the context of data solutions?
A] Securing secrets and encryption keys
B] Orchestrating data flows
C] Deploying machine learning models
D] Storing structured data in a secure database
Q: 26 What is the purpose of Azure SQL Data Warehouse?
A] To store large datasets and enable distributed queries
B] To provide real-time processing of data
C] To encrypt and protect sensitive data
D] To build and deploy AI models
Q: 27 Which Azure service is used for managing and monitoring cloud-native applications in real-time?
A] Azure Monitor
B] Azure Data Factory
C] Azure Synapse Analytics
D] Azure Event Hub
Q: 28 What feature does Azure Data Explorer provide?
A] Real-time data exploration and querying
B] Machine learning pipeline deployment
C] Secure key management
D] Data encryption and compliance
Q: 29 How can you ensure that your data processing is optimized in Azure Data Factory?
A] By using pipeline scheduling and monitoring
B] By storing data in a data lake
C] By using machine learning models for analytics
D] By using a relational database
Q: 30 Which Azure service enables you to process and analyze streaming data from various sources?
A] Azure Stream Analytics
B] Azure Blob Storage
C] Azure SQL Data Warehouse
D] Azure Cosmos DB
Q: 31 Which of the following is the best option for storing transactional data in the cloud?
A] Azure SQL Database
B] Azure Data Lake
C] Azure Cosmos DB
D] Azure Blob Storage
Q: 32 What is Azure Databricks primarily used for?
A] Big data analytics and machine learning
B] Managing IoT devices
C] Real-time streaming data processing
D] Event-driven programming
Q: 33 What is a feature of Azure Synapse Analytics that enhances its scalability?
A] Distributed query execution across multiple nodes
B] Auto-scaling for data pipelines
C] Built-in support for machine learning models
D] Multi-region geo-replication
Q: 34 Which service in Azure provides real-time data exploration capabilities?
A] Azure Data Explorer
B] Azure SQL Database
C] Azure Stream Analytics
D] Azure Databricks
Q: 35 What does the term “data orchestration” refer to in Azure Data Factory?
A] Automating the movement and transformation of data
B] Encrypting data during transfer
C] Storing data in a secure cloud location
D] Monitoring and logging data activities
Q: 36 Which of the following is a key feature of Azure Machine Learning?
A] Provides an end-to-end platform for model building and deployment
B] Offers unlimited free compute resources
C] Can only process structured data
D] Is used only for training deep learning models
Q: 37 What is the primary advantage of using Azure Data Lake Storage Gen2?
A] It supports large-scale analytics and machine learning
B] It is designed for real-time data processing
C] It is the most cost-effective storage solution
D] It offers advanced relational database capabilities
Q: 38 Which Azure service enables real-time event-driven architecture?
A] Azure Event Grid
B] Azure SQL Database
C] Azure Synapse Studio
D] Azure Data Factory
Q: 39 How does Azure support automatic scaling for services such as Azure Databricks?
A] By adjusting resources based on demand
B] By using pre-configured scaling settings
C] By limiting the number of active users
D] By enabling users to manually adjust the settings
Q: 40 What is the purpose of Azure Data Lake Storage Gen2?
A] To provide scalable and secure storage for big data
B] To store transactional data in a secure manner
C] To store unstructured data only
D] To provide real-time streaming data storage
Continue DP 203 Exam Questions and Answers preparation –
Q: 41 What is the main feature of Azure Synapse Analytics?
A] Unified experience for data integration, exploration, and warehousing
B] Supports only relational data storage
C] Provides real-time data processing capabilities
D] Can only store data in cloud-based databases
Q: 42 Which of the following services allows real-time stream analytics on big data?
A] Azure Stream Analytics
B] Azure Synapse Analytics
C] Azure Data Explorer
D] Azure Data Lake Storage
Q: 43 What is the function of Azure Data Factory?
A] To orchestrate data movement and transformation
B] To analyze and query data in real-time
C] To store data in a secure format
D] To provide high-performance database storage
Q: 44 What is the main benefit of using Azure Cosmos DB?
A] Global distribution with low-latency access
B] Real-time processing of structured data
C] Storing data in JSON format only
D] Limited to a single-region data storage
Q: 45 What Azure service would you use to automatically scale a service based on demand?
A] Azure Functions
B] Azure App Services
C] Azure Virtual Machines
D] Azure Autoscale
Q: 46 What does the Azure Data Lake Gen2 hierarchical namespace allow you to do?
A] Organize and manage data at scale
B] Store real-time data
C] Enable machine learning algorithms
D] Encrypt data in transit
Q: 47 What is the main difference between Azure SQL Database and Azure Cosmos DB?
A] Azure SQL Database supports relational data only
B] Azure Cosmos DB supports only structured data
C] Azure SQL Database is for unstructured data storage
D] Azure Cosmos DB supports multi-region replication
Q: 48 In Azure, what is the purpose of Azure Databricks?
A] A platform for big data analytics and machine learning
B] A tool for data warehousing and relational databases
C] A service for creating data lakes
D] A tool for serverless SQL queries
Q: 49 What does Azure Event Hubs provide in terms of data architecture?
A] Real-time event stream ingestion
B] Big data analytics
C] Data storage and archiving
D] Real-time data warehousing
Q: 50 What does Azure Data Factory’s integration runtime allow you to do?
A] Move data between data stores securely
B] Process unstructured data only
C] Encrypt data at rest
D] Query data across multiple regions
Q: 51 What type of workloads is Azure Databricks optimized for?
A] Big data analytics and machine learning
B] Transactional database workloads
C] Real-time data streaming
D] File-based data storage
Q: 52 Which of the following tools can help you build machine learning models in Azure?
A] Azure Machine Learning Studio
B] Azure Stream Analytics
C] Azure Functions
D] Azure SQL Database
Q: 53 What is the main benefit of using Azure Synapse Analytics for big data?
A] It integrates both on-demand and provisioned resources
B] It supports structured data storage only
C] It processes small amounts of data efficiently
D] It is primarily used for IoT data storage
Q: 54 What Azure service is used to store large amounts of data in a hierarchical manner?
A] Azure Data Lake Storage Gen2
B] Azure Blob Storage
C] Azure SQL Database
D] Azure Synapse Analytics
Q: 55 Which of the following can be used to query data stored in Azure Data Lake Storage Gen2?
A] Azure Synapse Analytics
B] Azure SQL Database
C] Azure Cosmos DB
D] Azure Event Hub
Q: 56 What is the role of Azure Key Vault in data security?
A] It manages encryption keys and secrets
B] It stores unstructured data securely
C] It processes and analyzes machine learning models
D] It provides a real-time data pipeline
Q: 57 What is the purpose of Azure Stream Analytics?
A] To process real-time data streams
B] To perform large-scale batch processing
C] To manage and archive data securely
D] To store unstructured data in a secure way
Q: 58 What feature of Azure Synapse Studio supports big data solutions?
A] Integration of data from various sources
B] Provides machine learning algorithms
C] Helps in real-time data ingestion
D] Provides monitoring services
Q: 59 Which Azure service is designed for large-scale real-time data streaming?
A] Azure Stream Analytics
B] Azure Event Hubs
C] Azure Data Explorer
D] Azure Data Lake Storage
Q: 60 What is the main benefit of Azure SQL Database?
A] Scalable relational database with built-in high availability
B] Supports only unstructured data
C] Can be used for big data analytics
D] Stores data in the form of flat files
Q: 61 What is the key feature of Azure Machine Learning?
A] End-to-end model building, training, and deployment
B] Real-time data query execution
C] Orchestrating data pipelines
D] Managing and storing encrypted data
Q: 62 How does Azure handle large-scale data migration?
A] By using Azure Data Factory
B] By using Azure Synapse Analytics
C] By using Azure Databricks
D] By using Azure Key Vault
Q: 63 Which of the following best describes the Azure Data Factory pipeline feature?
A] A set of activities that move and transform data
B] A tool to manage real-time data processing
C] A platform for storing data securely
D] A query engine for running SQL queries
Q: 64 What does Azure Data Explorer help with?
A] Real-time exploration of large datasets
B] Securing sensitive data
C] Building machine learning models
D] Encrypting data in transit
Q: 65 What Azure service provides a platform for automating data movements and transformations?
A] Azure Data Factory
B] Azure Synapse Analytics
C] Azure Data Lake Storage Gen2
D] Azure Event Grid
Q: 66 Which Azure service is designed for batch data processing at scale?
A] Azure Databricks
B] Azure SQL Database
C] Azure Synapse Analytics
D] Azure Stream Analytics
Q: 67 What is the main advantage of using Azure Data Lake Storage for analytics?
A] It provides secure, scalable storage for big data
B] It encrypts data at rest only
C] It supports only structured data
D] It offers high-latency data access
Q: 68 Which of the following is a key feature of Azure Cosmos DB?
A] Multi-region replication with low-latency access
B] Supports large-scale machine learning
C] Supports only relational data
D] Stores data only in JSON format
Q: 69 What Azure service can be used for querying large-scale datasets in a distributed fashion?
A] Azure Synapse Analytics
B] Azure Databricks
C] Azure Blob Storage
D] Azure Data Explorer
Q: 70 How does Azure Databricks support data science?
A] By providing a collaborative environment for building machine learning models
B] By querying relational data only
C] By storing data in a secure format
D] By processing batch data efficiently
Q: 71 What does Azure Key Vault ensure for data security?
A] It secures secrets, keys, and certificates
B] It stores raw data
C] It provides real-time data pipelines
D] It allows unstructured data to be processed securely
Q: 72 What Azure service would you use to automate and schedule ETL processes?
A] Azure Data Factory
B] Azure Synapse Studio
C] Azure Event Grid
D] Azure Databricks
Q: 73 What is the purpose of Azure Data Factory’s “Data Flow” feature?
A] To design and execute data transformation workflows
B] To manage real-time data streams
C] To store encrypted data securely
D] To analyze structured data
Q: 74 Which of the following is used to store large amounts of unstructured data such as log files and images?
A] Azure Blob Storage
B] Azure SQL Database
C] Azure Data Lake Storage Gen2
D] Azure Cosmos DB
Q: 75 Which Azure service allows you to run SQL queries on large datasets stored in data lakes?
A] Azure Synapse Analytics
B] Azure SQL Database
C] Azure Cosmos DB
D] Azure Event Hub
Q: 76 What is the key advantage of using Azure SQL Data Warehouse for big data analytics?
A] Scalable storage and processing with MPP architecture
B] Supports only structured data
C] Real-time analytics on small datasets
D] Limited to a single region
Q: 77 Which Azure service provides tools to manage machine learning models?
A] Azure Machine Learning
B] Azure Data Lake Storage Gen2
C] Azure Databricks
D] Azure Event Grid
Q: 78 What is the primary purpose of Azure Cosmos DB’s automatic indexing?
A] To ensure fast data retrieval across different queries
B] To store unstructured data securely
C] To build machine learning models
D] To process real-time data streams
Q: 79 What is the function of Azure Databricks in a big data environment?
A] It provides a collaborative environment for data processing
B] It is used to store relational data securely
C] It is primarily used for database administration
D] It stores unstructured data only
Q: 80 What Azure service is best for real-time data exploration and querying?
A] Azure Data Explorer
B] Azure SQL Database
C] Azure Event Hub
D] Azure Databricks